View source: R/plot.expectreg.R

plot.expectreg | R Documentation |

Takes a `expectreg`

object and plots the estimated effects.

## S3 method for class 'expectreg' plot(x, rug = TRUE, xlab = NULL, ylab = NULL, ylim = NULL, legend = TRUE, ci = FALSE, ask = NULL, cex.main = 2, mar.min = 5, main = NULL, cols = "rainbow", hcl.par = list(h = c(260, 0), c = 185, l = c(30, 85)), ylim_spat = NULL, ylim_factor = NULL, range_warning = TRUE, add_intercept = TRUE, ...)

`x` |
An object of class |

`rug` |
Boolean. Whether nonlinear effects are displayed in a rug plot. |

`xlab, ylab, ylim` |
Graphic parameters. |

`legend` |
Boolean. Decides whether a legend is added to the plots. |

`ci` |
Boolean. Whether confidence intervals and significances should be plotted. |

`ask` |
Should always be asked before a new plot is printed. |

`cex.main` |
Font size of main |

`mar.min` |
Minimal margins, important when markov fields are plotted |

`main` |
Vector of main per plot |

`cols` |
Colours sheme of plots. Default is rainbow. Alternatively |

`hcl.par` |
Parameters to specify the hcl coulour sheme. |

`ylim_spat` |
y_limits of the markov random field and all other spatial methods. |

`ylim_factor` |
y_limits of the plots of factor covariates. |

`range_warning` |
Should a warning be printed in the graphic if the range of the markov random field/factor plot is larger than the specified limits in |

`add_intercept` |
Should the intercept be added to the plots of splines? |

`...` |

The `plot`

function gives a visual representation of the fitted expectiles
separately for each covariate.

No return value, only graphical output.

Fabian Otto- Sobotka

Carl von Ossietzky University Oldenburg

https://uol.de

Elmar Spiegel

Georg August University Goettingen

https://www.uni-goettingen.de

Schnabel S and Eilers P (2009)
* Optimal expectile smoothing *
Computational Statistics and Data Analysis, 53:4168-4177

Sobotka F and Kneib T (2010)
* Geoadditive Expectile Regression *
Computational Statistics and Data Analysis,
doi: 10.1016/j.csda.2010.11.015.

`expectreg.ls`

, `expectreg.boost`

, `expectreg.qp`

data(dutchboys) expreg <- expectreg.ls(hgt ~ rb(age,"pspline"),data=dutchboys,smooth="f", expectiles=c(0.05,0.2,0.8,0.95)) plot(expreg)

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